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Hi everyone,
I try to build a recurrent neural networks using nn.LSTM in the following two methods: one uses nn.Sequencer, and the other uses nn.ConcatTable. Although I fixed the input table and para…
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I've been working on transplanting Fast R-CNN to a TensorFlow version. And I came across 2 problems as below:
1. In [roi_pooling_layer.cpp](https://github.com/rbgirshick/caffe-fast-rcnn/blob/fast-rcnn…
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### Paper: [Deep Speech: Scaling up end-to-end speech recognition](http://arxiv.org/abs/1412.5567)
### Scenario: recognize an utterance
Given a spectrogram sequence (a vector sequence)
Predict the ch…
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User vince62s has updated the TED-LIUM recipe to use the TED-LIUM 2 release of data, which almost doubles the data. Obviously we want to add these changes to the recipe. However we would like to prese…
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```
Traceback (most recent call last):
File "", line 1, in
File "C:\Anaconda2\lib\site-packages\spyderlib\widgets\externalshell\sitecustomize.py", line 699, in runfile
execfile(filename, nam…
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layers.py, on which most of the nntools code is based, has always been geared towards feed-forward neural networks. We should look into recurrent neural networks as well. Personally I don't have a lot…
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https://github.com/tensorflow/tensorflow/blob/master/tensorflow/g3doc/api_docs/python/nn.md
(It has convolutional layers listed, for instance, but does not show the RNNs. Actually, I don't quite see …
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This is really not an issue, so please feel free to close it and I will try asking the questions in Google Groups or Stackoverflow
I have been playing with LSTM for multi variate time series, it is …
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Hello,
If I understand correctly, the tridimensional `inputs` tensor is built by looking up the n-th row of `embeddings` for each number in the bidimensional `self.input_data` tensor. The rows of `em…
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Besides the #3 , I have a question on matrix multiply. What is its performance compared to the hardcoded library functions? If it is something like a third, then it might be possible to speed it up by…